• DocumentCode
    2791020
  • Title

    GIDT — A tool for the identification and visualization of genomic islands in prokaryotic organisms

  • Author

    Goodur, H.D. ; Ramtohul, V. ; Baichoo, Sunilduth

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Mauritius, Réduit, Mauritius
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    For decades, it has been a challenge for biologists to identify genomic islands (GIs) within a bacterial genome as they usually rapidly evolve. The purpose of this research is to develop an application which will analyse DNA sequences, enabling researchers to be up-to-date with bacterial evolution. A Java-based GI detection tool, “Genomic Islands Detection Tool (GIDT)" is introduced to detect GI regions by using a number of nucleotide-based statistical methods and genic methods (including GC-content variation, codon usage bias, dinucleotide frequency bias, tetranucleotide frequency bias, and k-mer signature analysis) and identification of mobility genes. It takes as input genome files in embl/genbank - file formats and returns probable GI regions in a tree-view display along with a circular-view display. GIDT is a simple tool which uses six GI identification algorithms and visually displays probable GI regions in a given genome. It runs on Microsoft windows, MacOS and Linux.
  • Keywords
    Java; biology computing; data visualisation; evolution (biological); genomics; microorganisms; statistical analysis; DNA sequences; GC-content variation; GI identification; GI region detection; GIDT; Genomic Islands Detection Tool; Java-based GI detection tool; Linux; MacOS; Microsoft windows; bacterial evolution; bacterial genome; circular-view display; codon usage bias; dinucleotide frequency bias; embl/genbank-file formats; genome files; genomic islands identification; genomic islands visualization; k-mer signature analysis; mobility gene identification; nucleotide-based statistical method; prokaryotic organisms; tetranucleotide frequency bias; tree-view display; Amino acids; Bioinformatics; DNA; Genomics; Microorganisms; Software; GI detection; bioinformatics; genomic island; prokaryotic organism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399707
  • Filename
    6399707